Wind power plant power coordination control method and device considering safety

Abstract

The invention provides a wind power plant power coordination control method and device considering safety, and relates to the technical field of wind power plant power coordination control. The coordination control method comprises the following steps: acquiring environment data and equipment state data around the working environment of a wind turbine generator in real time; the environment parameters and the equipment state parameters are subjected to data preprocessing, a self-adaptive control model is established based on the processed data and a theoretical power output formula of the wind turbine generator set, the output power of the wind turbine generator set is set, and when it is monitored that the power exceeds a safety threshold value, the system automatically triggers an alarm. And immediately adjusting the power output of the wind turbine generator or adjusting the angle of the blades of the wind turbine generator. After the wind turbine generator is shut down, the system can judge whether normal operation can be recovered or not according to the safety coefficient information. According to the method, the operation state of the wind turbine generator can be monitored in real time, the output power is dynamically adjusted, the equipment fault risk is effectively reduced, and the stability and safety of wind power generation are optimized.

Description

Technical Field

[0001] The present invention relates to the technical field of wind farm power coordination control, and in particular to a wind farm power coordination control method and device taking safety into consideration. Background Art

[0002] In recent years, wind farm power coordination control systems have attracted much attention due to their importance in the field of renewable energy. However, existing technologies still have significant defects when facing complex dynamic environments and safety risks. First, the power control systems of many wind farms rely on traditional power control methods, which makes it difficult for wind farms to respond quickly in emergencies, such as sudden meteorological changes and equipment failures, often leading to unstable power supply or overload risks. Therefore, there is an urgent need for a new type of wind farm power coordination control method that can perceive the on-site conditions in real time and flexibly adjust the control strategy according to the actual situation to achieve safer and more efficient power output.

[0003] In the prior art, the relevant patent with publication number CN111682592A discloses a distributed wind farm power optimization method and device, which mainly realizes dynamic adjustment of the output power of wind turbines through optimization algorithms. However, the operating environment of the wind farm is not always fixed. Different weather conditions, wind speed changes, and fluctuations in equipment performance will affect the output efficiency and safety of wind turbines. In addition, in the face of high wind speeds or faults, traditional power control methods often cannot respond in time, resulting in wind turbines being in an overloaded or inefficient operating state, thereby affecting the overall economy and safety of the wind farm.

[0004] Therefore, the wind farm power coordination control method that simply relies on the traditional power control method not only affects the reliability of power dispatching, but also may cause the wind farm to lose the safety of normal operation under extreme conditions. This requires the development of a wind farm power coordination control method and device that comprehensively considers safety and flexibility, so as to better cope with the changing operating environment and potential safety risks, and ensure the stable and efficient operation of the wind farm.

[0005] The above information disclosed in this Background section is only for enhancement of understanding of the background of the present disclosure and therefore it may contain information that does not constitute the prior art that is already known to one of ordinary skill in the art. Summary of the invention

[0006] The object of the present invention is to provide a wind farm power coordination control method and device taking safety into consideration, so as to solve the problems raised in the above background technology.

[0007] To achieve the above object, the present invention provides the following technical solutions:

[0008] A wind farm power coordination control method considering safety, comprising the following specific steps:

[0009] Step 1: Obtain the wind speed, temperature, and vibration amplitude data around the wind turbine in real time when it is working, use the mean filter method to clean the collected data, and use the standard deviation detection method to identify abnormal values ​​after cleaning;

[0010] Step 2: Based on the wind speed, temperature, and vibration amplitude data after cleaning, and the theoretical power output formula of the wind turbine, an adaptive control model is established, and the processed data is applied to the adaptive control model to set the output power of the wind turbine;

[0011] Step 3: When the monitored power exceeds the safety threshold, an alarm is triggered. Once the alarm is triggered, the power output of the wind turbine is automatically adjusted;

[0012] Step 4: If the alarm does not stop after limiting the wind turbine power, adjust the wind turbine blade angle to reduce the amount of wind captured by the wind turbine, thereby reducing the rotation speed and power output;

[0013] Step 5: After the wind turbine is shut down, determine whether it can be restored to operation based on the safety factor information;

[0014] Furthermore, the formula for cleaning the collected data using the mean filtering method is:

[0015]

[0016] Among them, F(x n ) is the data after the nth filtering, N is the filtering window size, x n-i is the original data collected for the nith time.

[0017] Furthermore, the standard deviation detection method is used to identify the outliers after cleaning; the formula is as follows:

[0018]

[0019] Among them, z is the standard score, which is used to determine whether it is an outlier; x is the current data point, μ is the mean of the data set; σ is the standard deviation of the data set. If |z|>k, the data is considered to be an outlier.

[0020] Furthermore, the theoretical power output formula of the wind turbine generator set based on the adaptive model is:

[0021]

[0022] Where P is the theoretical power; ρ is the air density, which usually changes with temperature; A is the fan swept area; C p is the power coefficient, which depends on the design of the wind turbine and the wind speed; V is the wind speed;

[0023] When the temperature T changes, the air density ρ is affected by the temperature T and is calculated using the following formula:

[0024]

[0025] where P0 is the standard atmospheric pressure; R is the gas constant, and T is the temperature;

[0026] When the vibration amplitude S changes, the operation of the fan is affected by the vibration amplitude S, and a correction coefficient C is added v , and the formula is:

[0027] C v = 1 - q·S

[0028] where q is the vibration influence coefficient, (0 < q < 1); S is the vibration amplitude;

[0029] Combining the effects of temperature change and vibration amplitude change on the fan power, the power output formula of the adaptive control model for the wind turbine is:

[0030]

[0031] Furthermore, when it is detected that the power P exceeds the safety threshold h, an alarm is triggered. Once the alarm is triggered, the power output formula of the wind turbine is automatically adjusted as:

[0032] When P > h

[0033] P adjusted = P·(1 -λω P )

[0034]

[0035] where P adjusted is the adjusted power; λ is the power adjustment coefficient; ω P is the degree to which the power exceeds the safety threshold and is the power safety factor.

[0036] Furthermore, when the alarm does not stop after restricting the power of the wind turbine, the formula for adjusting the blade angle of the wind turbine is:

[0037] θ adjusted = θ + β·(S - S max )

[0038] where θ is the blade angle before adjustment, θ adjusted is the blade angle after adjustment, and β is the blade angle adjustment sensitivity coefficient;

[0039] In cases where the automatic response is not obvious or in extreme situations, the operator needs to intervene manually and press the emergency stop button.

[0040] Furthermore, when the wind turbine is shut down, the safety factor information is used to determine whether it can be restored. The safety factor information includes the temperature safety factor, power safety factor, and vibration amplitude safety factor before shutdown. The formula is:

[0041]

[0042] Among them, ω P is the degree to which the power exceeds the safety threshold, is the power safety factor; ω T is the degree to which the temperature exceeds the safety threshold, is the temperature safety factor; ω S is the degree to which the vibration amplitude exceeds the safety threshold, and is the vibration amplitude safety factor;

[0043] If ω P <0,ω T <0,ω S <0, the operation can be resumed; if ω P >0,ω T >0,ω S >0, the operation cannot be resumed.

[0044] Furthermore, when the safety factor information determines that operation can be resumed, the power, temperature and vibration amplitude are monitored in real time to ensure that they are within the safe range, using the dynamic monitoring indicator D:

[0045]

[0046] Among them, P0 is the normal power reference value before recovery; T0 is the normal temperature reference value before recovery; S0 is the normal vibration amplitude reference value before recovery;

[0047] When the dynamic monitoring index D is less than the threshold value m, the recovery process is normal and can continue to run. When the dynamic monitoring index D is greater than the threshold value m, the recovery process is abnormal, the operation is stopped, and the wind turbine components are inspected.

[0048] Compared with the prior art, the beneficial effects of the present invention are as follows: this scheme significantly improves the power generation efficiency and stability of wind farms under different working environments by adopting adaptive control algorithms and multivariable collaborative control mechanisms. Specifically, the system can respond to changes in wind speed and equipment parameters in real time, optimize the power output of the wind turbine, and thus maintain a high power generation capacity in various external environmental changes. Compared with the prior art, this scheme reduces the power fluctuation of the wind turbine, enhances the stability of the power grid, and reduces the negative impact on the operation of the power grid by coordinating multiple self parameters. In addition, a safety early warning mechanism is used to monitor the operating status of the wind turbine in real time, identify and respond to potential failure risks in a timely manner, thereby effectively reducing the probability of overload and damage of the equipment. Through these fault prevention strategies, the failure rate of the wind turbine is significantly reduced, and the maintenance and downtime costs are also effectively controlled. The implementation of this innovative technology not only improves the operating efficiency of the wind farm, but also improves its safety and economy in a variable environment, and meets the growing market demand for renewable energy.

[0049] The present invention also provides a wind farm power coordination control device considering safety, and the specific modules include:

[0050] Acquisition module: acquires the wind speed, temperature, and vibration amplitude data around the wind turbine in real time when it is working, uses the mean filter method to clean the collected data, and uses the standard deviation detection method to identify abnormal values ​​after cleaning;

[0051] Central processing unit module: establish an adaptive control model based on the wind speed, temperature and vibration amplitude data after cleaning, apply the processed data to the adaptive control model, and set the output power of the wind turbine;

[0052] Power output module: When the power exceeds the safety threshold, an alarm is triggered. Once the alarm is triggered, the system will monitor the temperature and amplitude at the same time and automatically adjust the power output of the wind turbine;

[0053] Blade angle adjustment module: When the alarm does not stop after limiting the wind turbine power, adjust the wind turbine blade angle to reduce the amount of wind captured by the wind turbine, thereby reducing the rotation speed and power output;

[0054] Shutdown recovery module: When a wind turbine is shut down, it determines whether it can be restored to operation based on the safety factor information. BRIEF DESCRIPTION OF THE DRAWINGS

[0055] Figure 1 It is a schematic diagram of the overall method flow of the present invention;

[0056] Figure 2 It is a schematic diagram of the overall device design of the present invention. DETAILED DESCRIPTION

[0057] To make the objectives, technical solutions, and advantages of the present invention more clear and understandable, the present invention will be further described in detail below with reference to specific embodiments.

[0058] It should be noted that unless otherwise defined, the technical terms or scientific terms used in the present invention should have the ordinary meanings understood by those with ordinary skills in the field to which the present invention belongs. The "first", "second", and similar terms used in the present invention do not indicate any order, quantity, or importance, but are only used to distinguish different components. Words such as "include" or "comprise" mean that the elements or objects appearing before the word cover the elements or objects listed after the word and their equivalents, without excluding other elements or objects. Words such as "connect" or "couple" are not limited to physical or mechanical connections, but may include electrical connections, whether direct or indirect. "Upper", "lower", "left", "right", etc. are only used to represent relative positional relationships, and when the absolute position of the object being described changes, the relative positional relationship may also change accordingly.

[0059] Embodiment:

[0060] Please refer to Figure 1 , the present invention provides a technical solution:

[0061] A wind farm power coordination control method considering safety, the specific steps include:

[0062] Step 1: Real-time obtain the surrounding wind speed, temperature, and vibration amplitude data when the wind turbine is working, use the mean filtering method to clean the collected data, and use the standard deviation detection method to identify the outliers in the cleaned data;

[0063] The formula for using the mean filtering method to clean the collected data is:

[0064]

[0065] Wherein, F(x n ) is the data after the nth filtering, N is the filtering window size, and x n-i is the original data collected at the (n - i)th time.

[0066] The use of the standard deviation detection method to identify the outliers in the cleaned data; the formula is as follows:

[0067]

[0068] Wherein, z is the standard score, used to determine whether it is an outlier; x is the current data point, μ is the mean of the data set; σ is the standard deviation of the data set; if |z| > k, then the data is considered an outlier, if |z| < k, then the data is considered not an outlier.

[0069] It should be noted that the surrounding wind speed, temperature and vibration amplitude data when the wind turbine is working are obtained through the equipment installed on the wind turbine; these equipment are the following:

[0070] Wind speed monitoring sensor: Wind speed sensors can continuously monitor wind speed changes and provide real-time data to help optimize wind turbine operation. Record historical wind speed data to support long-term wind resource assessment and analysis.

[0071] Temperature monitoring sensor: monitors the temperature changes outside and inside the wind turbine to ensure that the equipment operates within the appropriate temperature range. Through temperature data monitoring, overheating problems can be discovered in time to avoid equipment damage. Combined with temperature data, the operation strategy of the wind turbine can be adjusted to improve efficiency, and temperature trend data can be recorded to provide a reference for the long-term operation and maintenance of the wind farm.

[0072] Vibration monitoring sensor: monitors the vibration amplitude of wind turbine components in real time to assess mechanical condition. By analyzing vibration data, potential mechanical failures can be identified and maintenance can be performed in advance to reduce the risk of downtime. Continuously monitor the status of the equipment to ensure that the wind turbine operates under optimal conditions and extend the service life of the equipment. Record vibration data to provide basic data for subsequent fault analysis and performance evaluation.

[0073] Therefore, installing relevant monitoring sensors can help monitor the wind speed, temperature, and vibration amplitude data of the wind turbine, thereby adjusting the corresponding wind turbine output power to ensure the safety and efficiency of the wind turbine. Changes in wind speed, temperature, and vibration amplitude data have a direct impact on the power output and stability of the wind turbine.

[0074] Step 2: Based on the wind speed, temperature, and vibration amplitude data after cleaning, and the theoretical power output formula of the wind turbine, an adaptive control model is established, and the processed data is applied to the adaptive control model to set the output power of the wind turbine;

[0075] The theoretical power output formula of the wind turbine generator system with the adaptive model is:

[0076]

[0077] Where P is the theoretical power; ρ is the air density, which usually changes with temperature; A is the fan swept area; C p is the power coefficient, which depends on the design of the wind turbine and the wind speed; V is the wind speed;

[0078] When the temperature T changes, the air density ρ is affected by the temperature T and is calculated using the following formula:

[0079]

[0080] Among them, P0 is the standard atmospheric pressure; R is the gas constant, and T is the temperature;

[0081] When the vibration amplitude S changes, the operation of the fan is affected by the vibration amplitude S, and a correction coefficient C is added v , and the formula is:

[0082] C v = 1 - q·S

[0083] Among them, q is the vibration influence coefficient, (0 < q < 1); S is the vibration amplitude;

[0084] Combining the influence of temperature change and vibration amplitude change on the fan power, the power output formula of the wind turbine of the adaptive control model is:

[0085]

[0086] The safety of the wind turbine is affected by temperature, wind speed, and vibration amplitude. There are mainly the following aspects:

[0087] Mechanical failure: When the rotating components of the wind turbine are worn or fatigued during long-term operation, it will lead to failures and performance degradation. And the damage of the bearing will cause unbalanced rotation, which will further affect the performance and safety of the whole machine;

[0088] Electrical failure: Problems in the electrical system lead to short circuits or overloads, which will cause safety accidents such as equipment damage or fires;

[0089] Fire hazard: If the internal electronic components and electrical systems of the wind turbine overheat, it may cause a fire. Combustible materials in the wind farm may cause a fire under high temperature or sparks;

[0090] Geological and structural problems: If the foundation of the wind turbine changes due to geological reasons, it may cause the fan to tilt or collapse;

[0091] Therefore, by combining the temperature, wind speed, and vibration amplitude data to adjust the power output of the wind turbine of the adaptive control model, the stable operation state of the wind turbine can be maintained.

[0092] Step 3: When it is detected that the power exceeds the safety threshold, trigger an alarm. Once the alarm is triggered, automatically adjust the power output of the wind turbine;

[0093] When it is detected that the power P exceeds the safety threshold h, trigger an alarm. Once the alarm is triggered, the formula for automatically adjusting the power output of the wind turbine is:

[0094] When P > h

[0095] P adjusted = P·(1 - λω P )

[0096]

[0097] Among them, P adjusted is the adjusted power; λ is the power adjustment coefficient; ω P is the degree to which the power exceeds the safety threshold, and is the power safety factor. P >0, the power exceeds the safety threshold and an alarm is triggered; when ω P =0, the power is at the safety threshold point; when ω P When <0, the power is less than the safety threshold point and the system operates normally;

[0098] Step 4: If the alarm does not stop after limiting the wind turbine power, adjust the wind turbine blade angle to reduce the amount of wind captured by the wind turbine, thereby reducing the rotation speed and power output;

[0099] When the alarm does not stop after limiting the wind turbine power, the formula for adjusting the wind turbine blade angle is:

[0100] θ adjusted =θ+β·(SS max )

[0101] Among them, θ is the angle of the front blade, θ adjusted is the blade angle after adjustment, β is the blade angle adjustment sensitivity coefficient;

[0102] The blade angle of a wind turbine can be adjusted to change its windward area and aerodynamic characteristics. By changing the pitch angle of the blades, that is, the relative angle between the blades and the wind, the efficiency of the wind turbine in capturing wind energy and the output power can be controlled. When the wind speed is too high, the wind turbine may be at risk of overload, which may cause damage to the mechanical structure or loss of control. By adjusting the blade angle and increasing the pitch angle, the windward area of ​​the blades can be reduced, thereby reducing the output power and speed of the wind turbine and protecting the unit. In cases where the automatic response effect is not obvious or in extreme cases, the operator needs to intervene manually and press the emergency stop button.

[0103] Therefore, the blade angle of the wind turbine is adjusted to further protect the wind turbine if the alarm does not stop after limiting the wind turbine power;

[0104] Step 5: After the wind turbine is shut down, determine whether it can be restored to operation based on the safety factor information;

[0105] When the wind turbine is shut down, the safety factor information is used to determine whether it can be restored. The safety factor information includes the temperature safety factor, power safety factor, and vibration amplitude safety factor before shutdown. The formula is:

[0106]

[0107] Among them, ωP is the degree to which the power exceeds the safety threshold, is the power safety factor; ω0 is the degree to which the temperature exceeds the safety threshold, is the temperature safety factor; ω S is the degree to which the vibration amplitude exceeds the safety threshold, and is the vibration amplitude safety factor;

[0108] If ω P <0,ω T <0,ω S <0, the operation can be resumed; if ω P >0,ω T >0,ω S >0, the operation cannot be resumed.

[0109] When the safety factor information determines that operation can be resumed, real-time monitoring of power, temperature and vibration amplitude is performed to ensure that they are within the safe range, using dynamic monitoring indicator D:

[0110]

[0111] Among them, P0 is the normal power reference value before recovery; T0 is the normal temperature reference value before recovery; S0 is the normal vibration amplitude reference value before recovery;

[0112] When the dynamic monitoring index D is less than the threshold value m, the recovery process is normal and can continue to run. When the dynamic monitoring index D is greater than the threshold value m, the recovery process is abnormal, the operation is stopped, and the wind turbine components are inspected.

[0113] See also Figure 2 , the present invention provides a technical solution:

[0114] A wind farm power coordination control device considering safety, comprising a data acquisition module, a central processing unit module, a power output module, a blade angle adjustment module and a shutdown recovery module;

[0115] Acquisition module: acquires the wind speed, temperature, and vibration amplitude data around the wind turbine in real time when it is working, uses the mean filter method to clean the collected data, and uses the standard deviation detection method to identify abnormal values ​​after cleaning;

[0116] Central processing unit module: establish an adaptive control model based on the wind speed, temperature and vibration amplitude data after cleaning, apply the processed data to the adaptive control model, and set the output power of the wind turbine;

[0117] Power output module: When the power exceeds the safety threshold, an alarm is triggered. Once the alarm is triggered, the system will monitor the temperature and amplitude at the same time and automatically adjust the power output of the wind turbine;

[0118] Blade angle adjustment module: When the alarm does not stop after limiting the wind turbine power, adjust the wind turbine blade angle to reduce the amount of wind captured by the wind turbine, thereby reducing the rotation speed and power output;

[0119] Shutdown recovery module: When a wind turbine is shut down, it determines whether it can be restored to operation based on the safety factor information.

[0120] The above formulas are all dimensionless and numerical calculations. The formula is a formula for the most recent real situation obtained by collecting a large amount of data and performing software simulation. The preset parameters in the formula are set by technicians in this field according to actual conditions.

[0121] The above embodiments may be implemented in whole or in part by software, hardware, firmware or any other combination thereof. When implemented by software, the above embodiments may be implemented in whole or in part in the form of a computer program product. Those skilled in the art may appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein may be implemented by electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed by hardware or software methods depends on the specific application and design constraints of the technical solution.

[0122] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, and may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0123] The above description is only a specific implementation manner of the present application, but the protection scope of the present application is not limited thereto. Any technician familiar with the technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application.

Claims

1. A wind farm power coordination control method considering safety, characterized in that: The specific steps include: Step 1: Obtain the surrounding wind speed, temperature, and vibration amplitude data in real time when the wind turbine is operating. Clean the collected data using the mean filtering method, and use the standard deviation detection method to identify the outliers in the cleaned data. Step 2: Based on the cleaned wind speed, temperature, and vibration amplitude data, establish an adaptive control model in combination with the theoretical power output formula of the wind turbine. Apply the processed data to the adaptive control model and set the power output of the wind turbine. Step 3: When it is monitored that the power exceeds the safety threshold, trigger an alarm. Once the alarm is triggered, automatically adjust the power output of the wind turbine. Step 4: When the alarm does not stop after restricting the power of the wind turbine, adjust the blade angle of the wind turbine to reduce the amount of wind captured by the fan, thereby reducing the rotational speed and power output. Step 5: After the wind turbine shuts down, determine whether it can resume operation based on the safety factor information.

2. A wind farm power coordination control method considering safety according to claim 1, characterized in that: The formula for cleaning the collected data using the mean filtering method is: Among them, F(x n ) is the data after the nth filtering, N is the filtering window size, x n-i is the original data collected for the nith time.

3. A wind farm power coordination control method considering safety according to claim 1, characterized in that: The method of using the standard deviation detection method to identify the outliers in the cleaned data; the formula is as follows: Where z is the standard score, used to determine whether it is an outlier; x is the current data point, μ is the mean of the data set; σ is the standard deviation of the data set. If |z|>k, then this data is considered an outlier.

4. A wind farm power coordination control method considering safety according to claim 1, characterized in that: The theoretical power output formula of the wind turbine for establishing the adaptive model is: Where P is the theoretical power; ρ is the air density, which usually changes with temperature; A is the fan swept area; C p is the power coefficient, which depends on the design of the wind turbine and the wind speed; V is the wind speed; When the temperature T changes, the air density ρ is affected by the temperature T, and is calculated using the following formula: Where P0 is the standard atmospheric pressure; R is the gas constant, and T is the temperature; When the vibration amplitude S changes, the operation of the fan is affected by the vibration amplitude S, and the correction coefficient C is added v , the formula is: C v =1-q·S Where q is the vibration influence coefficient, (0<q<1); S is the vibration amplitude; Combining the influence of temperature change and vibration amplitude change on the fan power, the power output formula of the wind turbine of the adaptive control model is:

5. A wind farm power coordination control method considering safety according to claim 1, characterized in that: When it is monitored that the power P exceeds the safety threshold h, trigger an alarm. Once the alarm is triggered, the formula for automatically adjusting the power output of the wind turbine is: When P>h P adjusted =P·(1-λω P ) Among them, P adjusted is the adjusted power; λ is the power adjustment coefficient; ω P is the degree to which the power exceeds the safety threshold, and is the power safety factor.

6. A wind farm power coordination control method considering safety according to claim 1, characterized in that: When the alarm does not stop after restricting the power of the wind turbine, the formula for adjusting the blade angle of the wind turbine is: i adjusted =θ+β·(SS max ) Among them, θ is the angle of the front blade, θ adjusted is the blade angle after adjustment, β is the blade angle adjustment sensitivity coefficient; In the case where the automatic response effect is not obvious or in extreme cases, the operator needs to perform manual intervention and press the emergency stop button.

7. A wind farm power coordination control method considering safety according to claim 1, characterized in that: After the wind turbine shuts down, determine whether it can resume operation based on the safety factor information. The safety factor information includes the temperature safety factor, power safety factor, and vibration amplitude safety factor before shutdown to judge whether it can resume. The formula is: Among them, ω P is the degree to which the power exceeds the safety threshold, is the power safety factor; ω T is the degree to which the temperature exceeds the safety threshold, is the temperature safety factor; ω S is the degree to which the vibration amplitude exceeds the safety threshold, and is the vibration amplitude safety factor; If ω P <0,ω T <0,ω S <0, the operation can be resumed; if ω P >0,ω T >0,ω S >0, the operation cannot be resumed.

8. A wind farm power coordination control method considering safety according to claim 7, characterized in that: When the safety factor information determines that it can resume operation, monitor the power, temperature, and vibration amplitude in real time to ensure that they are within the safe range, and use the dynamic monitoring index d: Among them, P0 is the normal power reference value before recovery; T0 is the normal temperature reference value before recovery; S0 is the normal vibration amplitude reference value before recovery; When the dynamic monitoring index D is less than the threshold value ω, the recovery process is normal and can continue to run. When the dynamic monitoring index d is greater than the threshold value m, the recovery process is abnormal, the operation is stopped, and the wind turbine components are inspected.

9. A wind farm power coordination control device considering safety, characterized in that: The distribution method is obtained by executing a wind farm power coordination control method considering safety as described in any one of claims 1 to 8, comprising: Acquisition module: acquires the wind speed, temperature, and vibration amplitude data around the wind turbine in real time when it is working, uses the mean filter method to clean the collected data, and uses the standard deviation detection method to identify abnormal values ​​after cleaning; Central processing unit module: establish an adaptive control model based on the wind speed, temperature and vibration amplitude data after cleaning, apply the processed data to the adaptive control model, and set the output power of the wind turbine; Power output module: When the power exceeds the safety threshold, an alarm is triggered. Once the alarm is triggered, the system will monitor the temperature and amplitude at the same time and automatically adjust the power output of the wind turbine; Blade angle adjustment module: When the alarm does not stop after limiting the wind turbine power, adjust the wind turbine blade angle to reduce the amount of wind captured by the wind turbine, thereby reducing the rotation speed and power output; Shutdown recovery module: When a wind turbine is shut down, it determines whether it can be restored to operation based on the safety factor information.

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